{"id":"W6948816564","doi":"10.5281/zenodo.10851779","title":"RISK MANAGEMENT USING DATA SCIENCE APPROACHES","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"activated carbon and charcoal","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Risk management; Big data; Adaptability; Visibility; Flexibility (engineering); Reputation; Risk assessment; Function (biology); Analytics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01969776,0.001787605,0.001886665,0.01091855,0.00227793,0.01622641,0.003877788,0.0037748,0.004733257],"category_scores_gemma":[0.03445246,0.0009249904,0.002840609,0.00717429,0.005721232,0.01279908,0.008338759,0.006325792,0.001310158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005233007,"about_ca_system_score_gemma":0.006781759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004125118,"about_ca_topic_score_gemma":0.002612873,"domain_scores_codex":[0.982825,0.007869534,0.001755798,0.001914758,0.00522302,0.0004118772],"domain_scores_gemma":[0.9604242,0.02548257,0.002576519,0.004485531,0.006070429,0.0009607827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000449194,0.000144347,0.00306808,0.0009358293,0.0003202143,0.0003688501,0.0009151744,0.03513367,0.0004354778,0.8484828,0.008561811,0.1015888],"study_design_scores_gemma":[0.00001722586,0.00003229387,0.0004110673,0.0005277147,0.00005448523,0.0001319189,0.0007276523,0.04783364,0.0004509369,0.9004043,0.04935007,0.00005860729],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003558389,0.009456599,0.9428433,0.01694263,0.0006300207,0.0003860882,0.0007386912,0.0004486328,0.02499565],"genre_scores_gemma":[0.188821,0.02425684,0.7691204,0.00332543,0.002448756,0.001269568,0.00250245,0.0002193106,0.008036176],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01969776,"threshold_uncertainty_score":0.104173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3600500339285415,"score_gpt":0.3752541648197278,"score_spread":0.01520413089118633,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}